{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "6d8c3375-bd44-4ad7-8062-ef1e94c0fd91",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Файлы с данными и результатами работы модуля кластеризации и маршрутизации сети\n",
    "data_filename = \"../data/data-grid-100-side100000-z1000.csv\"\n",
    "data_results = \"../data/data-grid-100-side100000-z1000-results-routing-objects.csv\"\n",
    "data_clusters = \"../data/data-grid-100-side100000-z1000-results-routing-clusters.csv\"\n",
    "data_routing = \"../data/data-grid-100-side100000-z1000-results-routing-routes.csv\"\n",
    "# Чтение файлов \n",
    "df_data = pd.read_csv(data_filename)\n",
    "df_results = pd.read_csv(data_results)\n",
    "df_clusters = pd.read_csv(data_clusters)\n",
    "df_routes = pd.read_csv(data_routing)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "dbee94d8-6dd4-402d-9fd0-5feeb9a367b9",
   "metadata": {},
   "outputs": [
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     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "# Отобразить исходные данные\n",
    "df_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "505786b9-9370-4061-bf1c-2c0b747e6a6a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Объекты\n"
     ]
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       "      <td>10313.935425</td>\n",
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       "      <td>957.48</td>\n",
       "      <td>10052.678952</td>\n",
       "      <td>120422.378357</td>\n",
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       "      <td>[99, 98, 86, 94, 73, 52, 32, 'Base']</td>\n",
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       "<p>100 rows × 20 columns</p>\n",
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      ],
      "text/plain": [
       "    object_id         name         x         y       z  cluster_id  \\\n",
       "0           1    Object #1     18.31     14.54  990.81          19   \n",
       "1           2    Object #2  10043.41     31.97  987.38          19   \n",
       "2           3    Object #3  19993.46      9.43  955.73           9   \n",
       "3           4    Object #4  30009.40     21.27  977.84           9   \n",
       "4           5    Object #5  40025.98     17.52  967.53           9   \n",
       "..        ...          ...       ...       ...     ...         ...   \n",
       "95         96   Object #96  50030.64  90036.84  961.48           6   \n",
       "96         97   Object #97  60025.66  89969.52  992.69          17   \n",
       "97         98   Object #98  69951.99  89979.86  957.48          17   \n",
       "98         99   Object #99  80004.65  89999.38  957.49          17   \n",
       "99        100  Object #100  89970.66  89987.31  962.32           2   \n",
       "\n",
       "    distance_to_centroid  leader  leader_id  leader_x  leader_y  leader_z  \\\n",
       "0            9987.776944   False         12   9977.97  10009.40    964.70   \n",
       "1            6318.119088   False         12   9977.97  10009.40    964.70   \n",
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       "3            4462.227917    True          4  30009.40     21.27    977.84   \n",
       "4            8948.279176   False          4  30009.40     21.27    977.84   \n",
       "..                   ...     ...        ...       ...       ...       ...   \n",
       "95          11823.186858   False         86  49973.14  80022.35    969.09   \n",
       "96          10277.712549   False         98  69951.99  89979.86    957.48   \n",
       "97           2488.614608    True         98  69951.99  89979.86    957.48   \n",
       "98          10313.935425   False         98  69951.99  89979.86    957.48   \n",
       "99          10285.624813   False         90  89977.44  80049.79    989.70   \n",
       "\n",
       "    distance_to_leader  distance_to_base  base_connector  \\\n",
       "0         14110.022518        991.085831           False   \n",
       "1          9977.670378      10091.879199           False   \n",
       "2         10015.971402      20016.292152           False   \n",
       "3             0.000000      30025.334500            True   \n",
       "4         10016.586008      40037.675959           False   \n",
       "..                 ...               ...             ...   \n",
       "95        10014.657963     103007.873193           False   \n",
       "96         9926.397832     108159.973284           False   \n",
       "97            0.000000     113976.194350           False   \n",
       "98        10052.678952     120422.378357           False   \n",
       "99         9937.560032     127253.140164           False   \n",
       "\n",
       "                           shortest_path  shortest_path_length  \\\n",
       "0                        [1, 12, 'Base']              28276.13   \n",
       "1                        [2, 12, 'Base']              24143.78   \n",
       "2                         [3, 4, 'Base']              40041.31   \n",
       "3                            [4, 'Base']              30025.33   \n",
       "4                         [5, 4, 'Base']              40041.92   \n",
       "..                                   ...                   ...   \n",
       "95      [96, 86, 94, 73, 52, 32, 'Base']             128755.31   \n",
       "96  [97, 98, 86, 94, 73, 52, 32, 'Base']             150989.83   \n",
       "97      [98, 86, 94, 73, 52, 32, 'Base']             141063.43   \n",
       "98  [99, 98, 86, 94, 73, 52, 32, 'Base']             151116.11   \n",
       "99  [100, 90, 69, 48, 27, 17, 4, 'Base']             148681.24   \n",
       "\n",
       "    shortest_path_steps                         shortest_path_steps_length  \\\n",
       "0                     1           [14110.022518313002, 14166.108137766701]   \n",
       "1                     1            [9977.670378445062, 14166.108137766701]   \n",
       "2                     1            [10015.971401781258, 30025.33450002681]   \n",
       "3                     0                                [30025.33450002681]   \n",
       "4                     1            [10016.586007966987, 30025.33450002681]   \n",
       "..                  ...                                                ...   \n",
       "95                    5  [10014.657963315563, 22332.110843708884, 22453...   \n",
       "96                    6  [9926.397832476796, 22322.78180502377, 22332.1...   \n",
       "97                    5  [22322.78180502377, 22332.110843708884, 22453....   \n",
       "98                    6  [10052.67895170734, 22322.78180502377, 22332.1...   \n",
       "99                    6  [9937.5600316778, 22386.179395321116, 22314.26...   \n",
       "\n",
       "    shortest_path_usage_count  \n",
       "0                           0  \n",
       "1                           0  \n",
       "2                           0  \n",
       "3                          47  \n",
       "4                           0  \n",
       "..                        ...  \n",
       "95                          0  \n",
       "96                          0  \n",
       "97                          3  \n",
       "98                          0  \n",
       "99                          0  \n",
       "\n",
       "[100 rows x 20 columns]"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Отобразить данные результатов\n",
    "print(\"Объекты\")\n",
    "\n",
    "df_results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "2aaad7dc-f170-4a6c-b589-571a3158a38f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Кластеры\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cluster_id</th>\n",
       "      <th>center_x</th>\n",
       "      <th>center_y</th>\n",
       "      <th>center_z</th>\n",
       "      <th>count_objects</th>\n",
       "      <th>leader_id</th>\n",
       "      <th>leader_x</th>\n",
       "      <th>leader_y</th>\n",
       "      <th>leader_z</th>\n",
       "      <th>base_connector</th>\n",
       "      <th>distance_to_base</th>\n",
       "      <th>channels_counts</th>\n",
       "      <th>channels_contacts</th>\n",
       "      <th>channels_weights</th>\n",
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       "      <td>[10069.285382260252, 22312.541810439252, 22380...</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>19991.2180</td>\n",
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       "      <th>3</th>\n",
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       "      <td>3</td>\n",
       "      <td>[12, 52, 24]</td>\n",
       "      <td>[19942.590039192506, 20068.439152931147, 22338...</td>\n",
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       "      <th>4</th>\n",
       "      <td>4</td>\n",
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       "      <td>59972.12</td>\n",
       "      <td>60031.21</td>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   cluster_id    center_x    center_y  center_z  count_objects  leader_id  \\\n",
       "0           0  60003.1025  22495.9225  964.1700              4         27   \n",
       "1           1  19991.2180  69980.8900  971.6700              5         73   \n",
       "2           2  87499.8050  80002.8750  965.6500              4         90   \n",
       "3           3   5010.9950  24977.8300  976.7975              4         32   \n",
       "4           4  57476.3325  60007.7425  976.7450              4         67   \n",
       "\n",
       "   leader_x  leader_y  leader_z  base_connector  distance_to_base  \\\n",
       "0  59987.31  20046.70    964.14           False      63255.648822   \n",
       "1  19952.99  69957.61    980.84           False      72754.044932   \n",
       "2  89977.44  80049.79    989.70           False     120436.240784   \n",
       "3   9976.73  29951.99    964.54            True      31584.603589   \n",
       "4  59972.12  60031.21    951.28           False      84860.510751   \n",
       "\n",
       "   channels_counts     channels_contacts  \\\n",
       "0                4      [17, 46, 48, 19]   \n",
       "1                4      [52, 81, 54, 94]   \n",
       "2                3          [98, 69, 67]   \n",
       "3                3          [12, 52, 24]   \n",
       "4                5  [46, 90, 98, 69, 86]   \n",
       "\n",
       "                                    channels_weights  \n",
       "0  [10069.285382260252, 22312.541810439252, 22380...  \n",
       "1  [22302.45256114448, 22321.63804839152, 22373.8...  \n",
       "2  [22352.31478025934, 22386.179395321116, 36070....  \n",
       "3  [19942.590039192506, 20068.439152931147, 22338...  \n",
       "4  [22348.079131267637, 36070.268222113344, 31567...  "
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Отобразить данные результатов\n",
    "print(\"Кластеры\")\n",
    "\n",
    "df_clusters.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "20995038-e34d-4c91-95a3-b4c7a7a03615",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Каналы связи\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Source</th>\n",
       "      <th>Target</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Source Coords</th>\n",
       "      <th>Target Coords</th>\n",
       "      <th>Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>12</td>\n",
       "      <td>32</td>\n",
       "      <td>19942.590039</td>\n",
       "      <td>(9977.97, 10009.4, 964.7)</td>\n",
       "      <td>(9976.73, 29951.99, 964.54)</td>\n",
       "      <td>leaders</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "      <td>22383.500651</td>\n",
       "      <td>(9977.97, 10009.4, 964.7)</td>\n",
       "      <td>(30009.4, 21.27, 977.84)</td>\n",
       "      <td>leaders</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>12</td>\n",
       "      <td>24</td>\n",
       "      <td>22388.016289</td>\n",
       "      <td>(9977.97, 10009.4, 964.7)</td>\n",
       "      <td>(29994.35, 20037.75, 965.86)</td>\n",
       "      <td>leaders</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>12</td>\n",
       "      <td>Base</td>\n",
       "      <td>14166.108138</td>\n",
       "      <td>(9977.97, 10009.4, 964.7)</td>\n",
       "      <td>[0, 0, 0]</td>\n",
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       "      <th>4</th>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>14110.022518</td>\n",
       "      <td>(9977.97, 10009.4, 964.7)</td>\n",
       "      <td>(18.31, 14.54, 990.81)</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Source Target        Weight              Source Coords  \\\n",
       "0      12     32  19942.590039  (9977.97, 10009.4, 964.7)   \n",
       "1      12      4  22383.500651  (9977.97, 10009.4, 964.7)   \n",
       "2      12     24  22388.016289  (9977.97, 10009.4, 964.7)   \n",
       "3      12   Base  14166.108138  (9977.97, 10009.4, 964.7)   \n",
       "4      12      1  14110.022518  (9977.97, 10009.4, 964.7)   \n",
       "\n",
       "                  Target Coords           Group  \n",
       "0   (9976.73, 29951.99, 964.54)         leaders  \n",
       "1      (30009.4, 21.27, 977.84)         leaders  \n",
       "2  (29994.35, 20037.75, 965.86)         leaders  \n",
       "3                     [0, 0, 0]  base_connector  \n",
       "4        (18.31, 14.54, 990.81)          object  "
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Отобразить данные результатов\n",
    "print(\"Каналы связи\")\n",
    "\n",
    "df_routes.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "f0a53ad8-0282-4786-96ae-abd36b4a469a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Визуализация распределения объектов по кластерам\n",
    "cluster_counts = df_results.groupby('cluster_id').size()\n",
    "\n",
    "# Построение гистограммы для cluster_id\n",
    "plt.figure(figsize=(10, 6)) \n",
    "plt.subplot(1, 2, 1)\n",
    "plt.bar(cluster_counts.index, cluster_counts.values, color='lightblue', edgecolor='black')\n",
    "plt.xlabel('Идентификатор кластера')\n",
    "plt.xticks(cluster_counts.index.astype(int))\n",
    "plt.ylabel('Количество объектов')\n",
    "plt.title('Распределение объектов по кластерам')\n",
    "\n",
    "\n",
    "# Построение гистограммы для shortest_path_steps\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.hist(df_results['shortest_path_steps'], bins=7, color='salmon')\n",
    "plt.xlabel('Количество шагов')\n",
    "plt.ylabel('Количество объектов')\n",
    "plt.title('Распределение количества шагов в маршрутах связи')\n",
    "\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "b8e2fd4e-e017-425d-8acf-ef5f21ae28a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Аналитика дистанции маршрутов связи\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Общая длина маршрута связи до базовой станции\n",
    "shortest_path_lengths = df_results['shortest_path_length']\n",
    "\n",
    "plt.figure(figsize=(12, 6)) \n",
    "plt.subplot(1, 2, 1)\n",
    "plt.boxplot(shortest_path_lengths, vert=False)\n",
    "plt.xlabel('Маршрут до базовой станции')\n",
    "plt.title('Box Plot расределение маршрута до базовой станции')\n",
    "plt.grid(True)\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.hist(shortest_path_lengths, bins=10, color='skyblue', edgecolor='black')\n",
    "plt.xlabel('Маршрут до базовой станции')\n",
    "plt.ylabel('Количество объектов')\n",
    "plt.title('Распределение дистанций до базовой станции')\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "id": "7e6c4c70-3f48-4c66-96dc-ac98e0efd3e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Ваш датасет df_results\n",
    "leaders = df_routes[df_routes['Group']=='leaders']\n",
    "weight = leaders['Weight']\n",
    "\n",
    "plt.figure(figsize=(12, 6)) \n",
    "plt.subplot(1, 2, 1)\n",
    "plt.boxplot(weight, vert=False)\n",
    "plt.xlabel('Маршрут до базовой станции')\n",
    "plt.title('Box Plot расределение маршрутов между кластерами')\n",
    "\n",
    "plt.grid(True)\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.hist(weight, bins=20, color='skyblue', edgecolor='black')\n",
    "plt.xlabel('Маршруты между кластерами')\n",
    "plt.ylabel('Количество каналов')\n",
    "plt.title('Распределение маршрутов')\n",
    "plt.grid(True)\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "id": "d1de9d9d-969b-4421-b38f-5b102badafbc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# Сортируем по столбцу Weight\n",
    "df_leaders = df_routes[df_routes['Group']=='leaders']\n",
    "\n",
    "df_leaders = df_leaders.sort_values(by='Source')\n",
    "\n",
    "df_leaders.reset_index(drop=True, inplace=True)\n",
    "# Создаем график\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.plot(df_leaders.index, df_leaders['Weight'], linestyle='-', color='b')\n",
    "plt.xlabel('Канал связи')\n",
    "plt.ylabel('Дистанция')\n",
    "plt.title('Дистанция каналов между кластерами')\n",
    "plt.xticks(df_leaders.index, [f\"{src} - {tgt}\" for src, tgt in zip(df_leaders['Source'], df_leaders['Target'])], rotation=45)\n",
    "plt.grid(axis='y')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "id": "3b11d25d-2ca3-4491-9cff-1cdae2086163",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Распределение каналов всех типов')"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Анализ дистанций связи в маршрутах связи. \n",
    "# Создаем пустой датасет для объединенных значений\n",
    "df_combined = pd.DataFrame(columns=['Weight'])\n",
    "\n",
    "# Итерируемся по строкам в df_results\n",
    "for index, row in df_results.iterrows():\n",
    "    values_list = row['shortest_path_steps_length']\n",
    "    list = eval(values_list)\n",
    "    for value in list:\n",
    "        # Добавляем каждое значение в список\n",
    "        df_combined.loc[len(df_combined)] = [value]\n",
    "\n",
    "df_combined = df_combined.sort_values(by='Weight')\n",
    "# Создаем гистограмму с бинами\n",
    "plt.hist(df_combined['Weight'], bins=25, color='salmon', edgecolor='black')\n",
    "plt.xlabel('Длина канала')\n",
    "plt.ylabel('Количество каналов')\n",
    "plt.title('Распределение каналов всех типов')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "56d669d0-f4cc-4e04-9889-bfb3489aa494",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Анализ дистанций связи по группам каналов\n",
    "unique_groups = df_routes['Group'].unique()\n",
    "\n",
    "# Создаем графики для каждой группы\n",
    "fig, axs = plt.subplots(1, len(unique_groups), figsize=(15, 5))\n",
    "\n",
    "# Цвета для групп\n",
    "colors = ['blue', 'green', 'orange']\n",
    "\n",
    "for i, group in enumerate(unique_groups):\n",
    "    group_data = df_routes[df_routes['Group'] == group]\n",
    "\n",
    "    if group == \"object\": \n",
    "        group_name = \"Связь в кластере\"   \n",
    "    elif group == \"leaders\":  \n",
    "        group_name = \"Связь между кластерами\" \n",
    "    elif group == \"base_connector\":  \n",
    "        group_name = \"Связь c базовой станцией\" \n",
    "    else: \n",
    "        group_name = group\n",
    "        \n",
    "    axs[i].hist(group_data['Weight'], bins=10, color=colors[i], edgecolor='black')\n",
    "    axs[i].set_title(f'{group_name}')\n",
    "    axs[i].set_xlabel('Длина маршрута')\n",
    "    axs[i].set_ylabel('Количество маршрутов')\n",
    "\n",
    "    max_height = max(rect.get_height() for rect in axs[i].patches)\n",
    "    axs[i].set_ylim(0, max_height * 1.1)\n",
    "    axs[i].yaxis.set_major_locator(plt.MaxNLocator(integer=True))\n",
    "    # Добавляем текст с количеством и процентом над каждой колонкой\n",
    "    for rect in axs[i].patches:\n",
    "        height = rect.get_height()\n",
    "        if height > 0:\n",
    "            axs[i].annotate(f'{height:.0f}\\n({height / len(group_data) * 100:.1f}%)',\n",
    "                            xy=(rect.get_x() + rect.get_width() / 2, height),\n",
    "                            xytext=(0, 0.1 * height),  # Увеличиваем масштаб текста\n",
    "                            textcoords=\"offset points\",\n",
    "                            ha='center', va='bottom')\n",
    "        \n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "id": "f0a7d765-4a69-4181-a42d-4d5be1c63f7d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['leaders' 'base_connector' 'object']\n"
     ]
    }
   ],
   "source": [
    "# Получаем список уникальных групп\n",
    "unique_groups = df_routes['Group'].unique()\n",
    "\n",
    "# Создаем один график с тремя подграфиками\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "\n",
    "\n",
    "\n",
    "for i, group in enumerate(unique_groups):\n",
    "    group_data = df_routes[df_routes['Group'] == group]\n",
    "    if group == \"object\": \n",
    "        group_name = \"Связь в кластере\"   \n",
    "    elif group == \"leaders\":  \n",
    "        group_name = \"Связь между кластерами\" \n",
    "    elif group == \"base_connector\":  \n",
    "        group_name = \"Связь c базовой станцией\" \n",
    "    else: \n",
    "        group_name = group\n",
    "\n",
    "    ax.hist(group_data['Weight'], bins=6,  edgecolor='black', alpha=0.8, label=group_name)\n",
    "\n",
    "    # Добавляем текст с количеством и процентом над каждой колонкой\n",
    "    for rect in ax.patches:\n",
    "        height = rect.get_height()\n",
    "        if height > 0:\n",
    "            ax.annotate(f'{height:.0f}',\n",
    "                        xy=(rect.get_x() + rect.get_width() / 2, height),\n",
    "                        xytext=(0, 3),  # Смещение текста\n",
    "                        textcoords=\"offset points\",\n",
    "                        ha='center', va='bottom')\n",
    "      \n",
    "ax.set_xlabel('Дистанция канала')\n",
    "ax.set_ylabel('Количество маршрутов')\n",
    "ax.set_title('Распределение длины маршрутов по группам')\n",
    "ax.legend(title='Группа')\n",
    "plt.yscale('log')\n",
    "plt.yticks([1, 2, 5, 10,20, 100], ['1', '2', '5', '10', '20', '100'])\n",
    "\n",
    "plt.show()\n",
    "\n",
    "print(unique_groups)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "96457bbe-4fde-458d-b6d8-9d46de92b581",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Получаем список уникальных групп\n",
    "unique_groups = df_routes['Group'].unique()\n",
    "\n",
    "# Создаем один график с тремя подграфиками\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "\n",
    "# Цвета для групп\n",
    "colors = ['blue', 'green', 'orange']\n",
    "\n",
    "for i, group in enumerate(unique_groups):\n",
    "    group_data = df_routes[df_routes['Group'] == group]\n",
    "    if group == \"object\": \n",
    "        group_name = \"Связь в кластере\"   \n",
    "    elif group == \"leaders\":  \n",
    "        group_name = \"Связь между кластерами\" \n",
    "    elif group == \"base_connector\":  \n",
    "        group_name = \"Связь c базовой станцией\" \n",
    "    else: \n",
    "        group_name = group\n",
    "    for_print = [group_data['Weight'].min(), group_data['Weight'].mean(), group_data['Weight'].max()]\n",
    "    p = ax.bar(group_name, for_print, alpha=0.5, label=group_name)\n",
    "    ax.bar_label(p)\n",
    "    \n",
    "ax.set_xlabel('Длинна маршрута (Минимальная, средняя, максимальная)')\n",
    "ax.set_ylabel('Дистанция ')\n",
    "ax.set_title('Распределение длины маршрутов по группам')\n",
    "ax.legend(title='Группа')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "47806284-2a80-4c81-bab6-2b8dc8ae0788",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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